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Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task.

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Title: Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task.
Authors: Edwards, PJ (AUTHOR), Barnard, L (AUTHOR), Leonard, VK (AUTHOR), Yi, JS (AUTHOR), Moloney, KP (AUTHOR), Kongnakorn, T (AUTHOR), Jacko, JA (AUTHOR), Sainfort, F (AUTHOR)
Source: Behaviour & Information Technology. May/Jun2005, Vol. 24 Issue 3, p175-186. 12p.
Subjects: Medical informatics, Utilities (Computer programs), Computer systems, Logistic regression analysis, Systems engineering
Abstract: This paper examines factors that affect performance on a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Linear and logistic regression models were used to examine various contextual factors that influenced task efficiency (time) and accuracy (errors). Interface characteristics such as multimodal feedback, Windows® accessibility settings, and menu item location were investigated along with various visual function and participant characteristics. Results indicated that Windows® accessibility settings and other factors, including age, computer experience, visual acuity, contrast sensitivity, and menu item location, were significant predictors of task performance. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task.
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  Data: <searchLink fieldCode="AR" term="%22Edwards%2C+PJ%22">Edwards, PJ</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barnard%2C+L%22">Barnard, L</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leonard%2C+VK%22">Leonard, VK</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yi%2C+JS%22">Yi, JS</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moloney%2C+KP%22">Moloney, KP</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kongnakorn%2C+T%22">Kongnakorn, T</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jacko%2C+JA%22">Jacko, JA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sainfort%2C+F%22">Sainfort, F</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. May/Jun2005, Vol. 24 Issue 3, p175-186. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Medical+informatics%22">Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Utilities+%28Computer+programs%29%22">Utilities (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+engineering%22">Systems engineering</searchLink>
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  Data: This paper examines factors that affect performance on a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Linear and logistic regression models were used to examine various contextual factors that influenced task efficiency (time) and accuracy (errors). Interface characteristics such as multimodal feedback, Windows® accessibility settings, and menu item location were investigated along with various visual function and participant characteristics. Results indicated that Windows® accessibility settings and other factors, including age, computer experience, visual acuity, contrast sensitivity, and menu item location, were significant predictors of task performance. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/01449290512331323189
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        Text: English
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              Text: May/Jun2005
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